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Multiple token rearrangement Transformer network with explicit superpixel constraint for segmentation of echocardiography.
Med Image Anal
January 2025
General Hospital of the Southern Theatre Command, PLA, Guangzhou, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China. Electronic address:
Diagnostic cardiologists have considerable clinical demand for precise segmentation of echocardiography to diagnose cardiovascular disease. The paradox is that manual segmentation of echocardiography is a time-consuming and operator-dependent task. Computer-aided segmentation can reduce the workflow greatly.
View Article and Find Full Text PDFThe Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets.
JMIR Med Inform
January 2025
Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.
View Article and Find Full Text PDFEvaluating the therapeutic communication skills of nursing students in the clinical setting: The experiences of students, patients and patients' relatives.
Heliyon
January 2025
Psychiatric Nursing Department, Faculty of Health Sciences, Bilecik Şeyh Edebali University, Bilecik, Turkiye.
Background: This study aimed to determine the therapeutic communication skills of nursing students, examine their experiences of communication during care, and evaluate the views of patients and their relatives.
Methods: This study was designed using the convergent parallel mixed method and was conducted in Türkiye. The therapeutic communication skills of 112 nursing students were examined using the Therapeutic Communication Skills Scale.
HIF-1α and VEGF Immunophenotypes as Potential Biomarkers in the Prognosis and Evaluation of Treatment Efficacy of Atherosclerosis: A Systematic Review of the Literature.
Front Biosci (Landmark Ed)
January 2025
Department of Pathology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41500 Larissa, Greece.
Background: Hypoxia-inducible factor 1 alpha (HIF-1α) and its related vascular endothelial growth factor (VEGF) may play a significant role in atherosclerosis and their targeting is a strategic approach that may affect multiple pathways influencing disease progression. This study aimed to perform a systematic review to reveal current evidence on the role of HIF-1α and VEGF immunophenotypes with other prognostic markers as potential biomarkers of atherosclerosis prognosis and treatment efficacy.
Methods: We performed a systematic review of the current literature to explore the role of HIF-1α and VEGF protein expression along with the relation to the prognosis and therapeutic strategies of atherosclerosis.
Patient-reported outcomes in sarcopenia: An ICFSR task force report.
J Frailty Aging
February 2025
Department of Human Neuroscience, Sapienza University, Rome, Italy; National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy; Aging Research Center, Department of Neurobiology, Care Sciences, and Society, Karolinska Institute and Stockholm University, Stockholm, Sweden.
The International Conference on Frailty and Sarcopenia Research (ICFSR) Task Force convened in March 2024 to address patient-reported outcomes measures (PROMs) in the field of sarcopenia. PROMs are crucial to enhance healthcare services at both individual and societal levels. PROMs complement objective outcome measures by capturing insights that patients are best suited to judge.
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